Trillboards Selects hellOOH as Its Preferred
Out-of-Home (OOH) Sales Intelligence Platform
Strategic partnership shifts the OOH industry focus from campaign execution to
predictive market intelligence, leveraging machine learning to model demand
SAN FRANCISCO, CA — Trillboards, today announced it has selected hellOOH as its preferred platform for Out-of-Home (OOH) market intelligence and sales strategy. The partnership addresses a critical evolution in the OOH ecosystem: as campaign execution and transactional workflows become largely standardized, the industry’s limiting factor has shifted upstream from access to market understanding.
While most operators already have inventory systems and automation layers in place, understanding market behavior at decision-maker resolution, in real time, and across fragmented demand signals remains a persistent challenge. hellOOH solves this by introducing a machine learning–driven intelligence system designed specifically for the OOH ecosystem.
“OOH has more data than ever, but very little of it is structured into usable intelligence,” said David Abelson, SVP of Publisher Partnerships at Trillboards. “hellOOH changes that by turning fragmented market activity into a system that can actually be learned from and acted on.”
OOH has more data than ever, but very little of it is structured into usable intelligence
“The next era of OOH will not be won by the companies with the most inventory. It will be won by the companies with the fastest intelligence loops,” said Bo Sijuade, CEO and co-founder of hellOOH. “The market is becoming too dynamic, too fragmented, and too competitive for intuition-based sales strategy alone. We built hellOOH to function as a machine learning system for market understanding — one that helps operators identify demand earlier, move faster, and operate with a level of visibility that historically did not exist in out-of-home.”
The next era of OOH will not be won by the companies with the most inventory.
It will be won by the companies with the fastest intelligence loops
The Shift from Reporting to Predictive Market Modeling
The OOH industry has traditionally relied on backward-looking reporting systems to answer the question, “What happened?” Today, the more relevant question for sales organizations is, “What is happening, why, and what is likely to happen next?” Understanding who is spending, through which agencies, across which geographies, and in which formats is no longer a reporting problem — it is a learning problem.
hellOOH addresses this by continuously ingesting and organizing real-world OOH signals to build a living model of demand across four core intelligence layers:
- Verified Campaign Intelligence Graph: Maps real, verified OOH campaign activity over time. By tracking historical campaigns, advertiser-level attribution, and format-level deployment, hellOOH creates a longitudinal dataset of how demand behaves, moving beyond simple snapshots.
- Decision-Maker & Agency Intelligence Layer: Structures the human side of ad spend. The system hierarchically maps holding companies, independent agencies, and brand-side decision-makers, turning fragmented industry relationships into a navigable graph of influence and authority.
- Industry Relationship & Contact Infrastructure: Creates an operational bridge between campaign data and the people behind it by linking verified contacts across agencies, media owners, and advertiser-side decision-makers.
- Predictive Demand & Market Intelligence Engine: Analyzes historical patterns and cross-market behavior to identify likely repeat advertisers, emerging category-level demand shifts, geographic expansion, and early buying signals before market visibility peaks.
“What is happening, why, and what is likely to happen next?”
Equipping Trillboards for the Future of OOH
In most OOH organizations today, demand intelligence is fragmented, creating latency between market behavior, sales understanding, and revenue action. Trillboards recognized that the current constraint is no longer infrastructure execution but intelligence asymmetry. By integrating hellOOH, Trillboards is adopting a new intelligence layer for the industry.
This transition — from human-interpreted market understanding to machine-modeled demand intelligence — offers a compounding advantage. Organizations operating with better models of demand do not just sell more efficiently; they see the market earlier than everyone else.
About hellOOH
hellOOH is a machine learning–driven intelligence system for the out-of-home advertising ecosystem. By structuring market behavior, verifying campaign history, and mapping decision-maker relationships, hellOOH transforms fragmented data into predictive demand signals. For more information, visit hellooh.io.
About Trillboards
Trillboards is a software-first digital signage network that transforms standard displays into smart billboards. By bridging the gap between Supply-Side Platforms (SSP) and Demand-Side Platforms (DSP), Trillboards allows local businesses to monetize their physical space while providing advertisers with hyper-local, high-impact visibility. For more information or to book a demo for your next installation project, visit trillboards.com.
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